Mining temporal patterns with quantitative intervals - Archive ouverte HAL Accéder directement au contenu
Communication Dans Un Congrès Année : 2008

Mining temporal patterns with quantitative intervals

Résumé

In this paper we consider the problem of discovering frequent temporal patterns in a database of temporal sequences, where a temporal sequence is a set of items with associated dates and durations. Since the quantitative temporal information appears to be fundamental in many contexts, it is taken into account in the mining processes and returned as part of the extracted knowledge. To this end, we have adapted the classical APriori [1] framework to propose an efficient algorithm based on a hyper-cube representation of temporal sequences. The extraction of quantitative temporal information is performed using a density estimation of the distribution of event intervals from the temporal sequences. An evaluation on synthetic data sets shows that the proposed algorithm can robustly extract frequent temporal patterns with quantitative temporal extents.
Fichier principal
Vignette du fichier
Guyet-MiningTemporalPattern.pdf (937.49 Ko) Télécharger le fichier
Origine : Fichiers produits par l'(les) auteur(s)
Loading...

Dates et versions

hal-00431445 , version 1 (13-11-2009)

Identifiants

  • HAL Id : hal-00431445 , version 1

Citer

Thomas Guyet, René Quiniou. Mining temporal patterns with quantitative intervals. 4th International Workshop on Mining Complex Data, (IEEE ICDM) Workshop, 2008, Italy. pp.10. ⟨hal-00431445⟩
254 Consultations
407 Téléchargements

Partager

Gmail Facebook X LinkedIn More